Queensland Alliance for Agriculture and Food Innovation - UQ eSpacehttp://espace.library.uq.edu.au/
The University of QueenslandenFez http://blogs.law.harvard.edu/tech/rssDescription of the pig production systems, biosecurity practices and herd health providers in two provinces with high swine density in the Philippineshttp://espace.library.uq.edu.au/view/UQ:322236
2014-02-05T12:05:20Z
Alawneh, J. I.; Barnes, T. S.; Parke, C.; Lapuz, E.; David, E.; Basinang, V.; Baluyut, A.; Villar, E.; Lopez, E. L.; Blackall, P. J. Designing crops for new challengeshttp://espace.library.uq.edu.au/view/UQ:280947
2012-09-02T00:01:09Z
Tardieu, Francois; Hammer, Graeme Designing, developing and implementing a software tool for scenario based learninghttp://espace.library.uq.edu.au/view/UQ:286455
The pedagogical value of problem-based and inquiry-based learning activities has led to increased use of this approach in many courses. While scenarios or case studies were initially presented to learners as text-based material, the development of modern software technology provides the opportunity to deliver scenarios as e-learning modules, providing learners with a more accessible and engaging learning experience. Scenario Based Learning - interactive (SBLi) has been specifically developed to provide teachers and trainers with a generic tool that enables them to easily build interactive, multimedia scenarios without requiring programming skills. The software consists of a builder and player application, for constructing and playing scenarios from hard drives or from a CD/DVD, and a server-based player and manager, for deploying scenarios on the web, either for public use or for restricted and managed use in specific courses. This paper describes the history of SBLi, its design and operational features, how SBLi is being used to achieve innovative and effective learning experiences, and the practical issues that need to be addressed in supporting and sustaining e-learning software such as SBLi.2012-11-29T12:18:34Z
Norton, Geoff; Taylor, Mathew; Stewart, Terry; Blackburn, Greg; Jinks, Audrey; Razdar, Bahareh; Holmes, Paul; Marastoni, Enrique Designing sustainable agricultural production systems for a changing world: methods and applicationshttp://espace.library.uq.edu.au/view/UQ:330190
2014-05-18T00:04:17Z
Dogliotti, S.; Rodriguez, D.; Lopez-Ridaura, S.; Tittonell, P. Designing the sorghum crop model in APSIM to simulate the physiology and genetics of complex adaptive traitshttp://espace.library.uq.edu.au/view/UQ:330967
2014-05-23T18:22:54Z
Hammer, Graeme L.; Van Oosterom, Erik; McLean, Greg; Chapman, Scott Design of a whole genome scan experiment for a multi-breed beef cattle population with a complex pedigreehttp://espace.library.uq.edu.au/view/UQ:293091
2013-03-08T13:51:54Z
Kelly, M.J.; Hayes, B.J.; Miller, S.P. Detailed investigation of organic matter components in extracts and drainage waters from a soil under long term cultivationhttp://espace.library.uq.edu.au/view/UQ:287786
2012-12-23T00:46:59Z
Hayes, Thomas M.; Hayes, Michael H. B.; Swift, Roger S. Detecting three common drugs in horses: Frusemide, betamethasone and triamcinolone acetatehttp://espace.library.uq.edu.au/view/UQ:271516
2012-03-26T09:46:25Z
Vine, J.H.; Selvadurai, N.S.; Glowacki, L.L.; Krstevska, D.; Zahra, P. W.; O'Callaghan, P.; Nelis, S.; Sievers, K.; Bailey, A.; Davies, P.; Young, B.; Bryden, W.; Cawdell-Smith, J.; Shaw, N.; Kirkpatrick, C.; Nissen, L.; Basgallop, N. J.; Noble, G.; Turco, B.; Sillence, M. N.; McKinney, A. R.; Stenhouse, A. M. Detection and differentiation of Borrelia burgdorferi sensu lato in ticks collected from sheep and cattle in Chinahttp://espace.library.uq.edu.au/view/UQ:331602
2014-06-02T11:18:08Z
Niu, Q.; Guan, G.; Yang, J.; Fu, Y.; Xu, Z.; Li, Y.; Ma, M.; Liu, Z.; Liu, J.; Liu, A; Ren, Q.; Jorgensen, W.; Luo, J.; Yin, H. Detection of aflatoxins in isolated Aspergillus spp. from infected maizehttp://espace.library.uq.edu.au/view/UQ:325298
2014-03-11T17:25:11Z
Pang, Y. L.; Dora, L.; Yong, K. W. L.; Were, V.; Chaliha, M.; Fernando, W. C.; Cusack, A.; Currie, M.; Turner, W. J.; Fletcher, M. T.; Fox, G. P.; Harvey, J. J. W.; Sultanbawa, Y. Detection of a putative hemolysin operon, hhdBA, of Haemophilus parasuis from pigs with Glasser diseasehttp://espace.library.uq.edu.au/view/UQ:280958
2012-09-02T00:05:25Z
Assavacheep, Pornchalit; Assavacheep, Anongnart; Turni, Conny Detection of Arcobacter spp. in piggery effluent and effluent-irrigated soils in southeast Queenslandhttp://espace.library.uq.edu.au/view/UQ:231517
2011-03-07T14:40:19Z
Chinivasagam, H. N.; Corney, B. G.; Wright, L. L.; Diallo, I. S.; Blackall, P. J. Detection of Bm86 Antigen in Different Strains of Boophilus-Microplus and Effectiveness of Immunization with Recombinant Bm86http://espace.library.uq.edu.au/view/UQ:245143
2011-08-09T08:52:24Z
Penichet, M; Rodriguez, M; Castellano, O; Mandado, S; Rojas, Y; Rubiera, R; Sanchez, P; Lleonart, R; Delafuente, J Detection of cutaneous myiasis in sheep using an 'electronic nose'http://espace.library.uq.edu.au/view/UQ:231720
Cutaneous myiasis (flystrike), in Australia caused primarily by Lucilia cuprina [Diptera: Calliphoridae], is a debilitating, painful and potentially lethal disease of sheep. Early detection of flystrike is difficult and continual flock surveillance is required to enable timely treatment of struck sheep. Electronic nose technology offers the potential for early and automated detection of flystrike. An electronic nose consisting of six metal oxide semiconductor sensors and temperature and humidity sensors was used to measure odours collected by dynamic headspace sampling during flystrike development in four experiments and from urine- and faeces-stained fleece in one experiment. Non-linear signal measurement techniques and linear discriminant analysis (LDA) were used to extract signal features and process those features for analysis of categorical separation of odour groups. The results from LDA indicated that the electronic nose accurately distinguished flystrike odour on days 1, 2 and 3 of development from that of dry wool in all experiments (P < 0.05). The electronic nose was also able to discriminate flystrike odour on the day of larval implantation (day 0) in three of the four studies. In the experiment with urine- and faeces-stained wool, these odours were accurately distinguished from both dry wool and flystrike (P < 0.05). This study provides proof-of-concept for the detection of flystrike using electronic nose technology. Practical methods for collection of odour in the field and suitable detection algorithms will be required for development to commercial application.2011-03-07T15:09:14Z
Cramp, A. P.; Sohn, J. H.; James, P. J. Detection of Eimeria acervulina using the polymerase chain reactionhttp://espace.library.uq.edu.au/view/UQ:231767
2011-03-07T15:15:00Z
Molloy, J. B.; Eaves, F. W.; Jeston, P. J.; Minchin, C. M.; Stewart, N. P.; Lew, A. E.; Jorgensen, W. K. Detection of interspecies hybridisation in Chondrichthyes: Hybrids and hybrid offspring between Australian (Carcharhinus tilstoni) and common (C. limbatus) blacktip shark found in an Australian fisheryhttp://espace.library.uq.edu.au/view/UQ:267190
2012-02-07T17:21:08Z
Morgan, Jess A. T.; Harry, Alastair V.; Welch, David J.; Street, Raewyn; White, Jimmy; Geraghty, Pascal T.; Macbeth, William G.; Tobin, Andrew; Simpfendorfer, Colin A.; Ovenden, Jennifer R. Detection of neutral and aminosugars from glycoproteins and polysaccharides as their alditol acetateshttp://espace.library.uq.edu.au/view/UQ:228552
2011-02-09T12:08:16Z
Henry, R. J.; Blakeney, A. B.; Harris, P. J.; Stone, B. A. Detection of nitrogen deficiency in wheat from spectral reflectance indices and basic crop eco-physiological conceptshttp://espace.library.uq.edu.au/view/UQ:231850
We tested the capacity of several published multispectral indices to estimate the nitrogen nutrition of wheat canopies grown under different levels of water supply and plant density and derived a simple canopy reflectance index that is greatly independent of those factors. Planar domain geometry was used to account for mixed signals from the canopy and soil when the ground cover was low. A nitrogen stress index was developed, which adjusts shoot %N for plant biomass and area, thereby accounting for environmental conditions that affect growth, such as crop water status. The canopy chlorophyll content index (CCCi) and the modified spectral ratio planar index (mSRPi) could explain 68 and 69% of the observed variability in the nitrogen nutrition of the crop as early as Zadoks 33, irrespective of water status or ground cover. The CCCi was derived from the combination of 3 wavebands 670, 720 and 790 nm, and the mSRPi from 445, 705 and 750 nm, together with broader bands in the NIR and RED. The potential for their spatial application over large fields/paddocks is discussed.2011-03-07T15:22:59Z
Rodriguez, D.; Fitzgerald, G. J.; Belford, R.; Christensen, L. K. Detection of Pseudomonas pseudomallei by PCR and hybridizationhttp://espace.library.uq.edu.au/view/UQ:231760
2011-03-07T15:14:06Z
Lew, A. E.; Desmarchelier, P. M. Determination of hepatotoxic indospicine in Australian camel meat by ultra-performance liquid chromatography-tandem mass spectrometryhttp://espace.library.uq.edu.au/view/UQ:325165
2014-03-11T00:38:41Z
Tan, Eddie T. T.; Fletcher, Mary T.; Yong, Ken W. L.; D'Arcy, Bruce R.; Al Jassim, Rafat Determination of the persistence of tetracycline antibiotics and their degradates in manure-amended soil using enzyme-linked immunosorbent assay and liquid chromatography-mass spectrometryhttp://espace.library.uq.edu.au/view/UQ:245190
The persistence of manure-borne oxytetracycline in soil was investigated under field conditions. Soil cores were collected approximately once a month for over a period of two years and subsampled at depth increments of 0−5, 5−10, 10−15, 15−36, and 36−71 cm. Soil samples were analyzed by enzyme-linked immunosorbent assay (ELISA) and/or by liquid chromatography−mass spectrometry (LC-MS). Whereas LC-MS showed that oxytetracycline declined to <50% of its initial soil concentration after 3 weeks, ELISA showed that the total tetracyclines did not decline significantly 5 months after manure application. The differences between ELISA and LC-MS results are attributed to the broad cross-reactivity of the antibodies employed, which detect many structurally related tetracyclines, including their isomers and degradation products. Only trace amounts (≤1.0 μg/kg) of oxytetracycline were observed in the subsurface soil, and none was detected in water samples from field lysimeters, suggesting that oxytetracycline has low mobility in soil.2011-08-10T08:52:29Z
Aga, Diana S.; O'Connor, Seamus; Ensley, Steve; Payero, Jose O.; Snow, Daniel; Tarkalson, David Determining crop acreage estimates for specific winter crops using shape attributes from sequential MODIS imageryhttp://espace.library.uq.edu.au/view/UQ:317715
There are increasing societal and plant industry demands for more accurate, objective and near realtime crop production information to meet both economic and food security concerns. The advent of the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite platform has augmented the capability of satellite-based applications to monitor large agricultural areas at acceptable pixel scale, cost and accuracy. Fitting parametric profiles to growing season vegetation index time series reduces the volume of data and provides simple quantitative parameters that relates to crop phenology (sowing date, flowering). In this study, we modelled various Gaussian profiles to time sequential MODIS enhanced vegetation index (EVI) images over winter crops in Queensland, Australia. Three simple Gaussian models were evaluated in their effectiveness to identify and classify various winter crop types and coverage at both pixel and regional scales across Queensland's main agricultural areas. Equal to or greater than 93% classification accuracies were obtained in determining crop acreage estimates at pixel scale for each of the Gaussian modelled approaches. Significant high to moderate correlations (log-linear transformation) were also obtained for determining total winter crop (R2 = 0.93) areas as well as specific crop acreage for wheat (R2 = 0.86) and barley (R2 = 0.83). Conversely, it was much more difficult to predict chickpea acreage (R2 ≤ 0.26), mainly due to very large uncertainties in survey data. The quantitative approach utilised here further had additional benefits of characterising crop phenology in terms of length of growing season and providing regression diagnostics of how well the fitted profiles matched the EVI time series. The Gaussian curve models utilised here are novel in application and therefore will enhance the use and adoption of remote sensing technologies in targeted agricultural application. With innate simplicity and accuracies comparable to other more convoluted multi-temporal approaches it is a good candidate in determining total and specific crop acreage estimates in future national and global food security frameworks.2013-11-28T17:26:21Z
Potgieter, A. B.; Lawson, K.; Huete, A. R. Determining cropping patterns and intensities through the use of multi-temporal MODIS imagery for the Murray-Darling Basin, Queensland Australiahttp://espace.library.uq.edu.au/view/UQ:284702
2012-11-12T11:40:46Z
Potgieter, Andries; Mallawaarachchi, Thilak; Ross, Helen Determining the number of animals required to accurately determine breed composition using genomic data Proceedingshttp://espace.library.uq.edu.au/view/UQ:355003
2015-03-27T16:15:39Z
Connolly, S.; Fortes, M.; Piper, E.; Seddon, J.; Kelly, M. Developing a commercial floriculture activity in a research environment and a supply chain contexthttp://espace.library.uq.edu.au/view/UQ:292039
2013-02-22T18:46:40Z
Joyce, D. C.; Turner, C. Developing drought-adapted sorghum germplasm for Africa and Australia: Stay-green trait beneficial in tall and short backgroundshttp://espace.library.uq.edu.au/view/UQ:266662
2012-02-02T12:26:07Z
Borrell, Andrew K.; Jordan, David R.; George-Jaeggli, Barbara Developing horticultural quality management systems in Fijihttp://espace.library.uq.edu.au/view/UQ:301322
2013-05-29T20:25:55Z
Underhill, S.J.R Developing robust faecal near infrared spectroscopy calibrations to predict diet dry matter digestibility in cattle consuming tropical forageshttp://espace.library.uq.edu.au/view/UQ:268449
2012-02-26T05:59:12Z
Coates, D. B.; Dixon, R. M. Developmental and growth controls of tillering and water-soluble carbohydrate accumulation in contrasting wheat (Triticum aestivum L.) genotypes: can we dissect them?http://espace.library.uq.edu.au/view/UQ:289559
2013-01-20T00:36:35Z
Dreccer, M. Fernanda; Chapman, Scott C.; Rattey, Allan R.; Neal, Jodi; Song, Youhong; Christopher, John (Jack) T.; Reynolds, Matthew Development and application of DNA probes and PCR tests for Haemophilus paragallinarumhttp://espace.library.uq.edu.au/view/UQ:231512
2011-03-07T14:39:47Z
Chen, X.; Miflin, J.K.; Zhang, P.; Blackall, P.J. Development and application of speed breeding technologies in a commercial peanut breeding programhttp://espace.library.uq.edu.au/view/UQ:327618
2014-04-03T07:57:23Z
O’Connor, D. J.; Wright, G. C.; Dieters, M. J.; George, D. L.; Hunter, M. N.; Tatnell, J. R.; Fleischfresser, D. B. Development and use of a barley crop simulation model to evaluate production management strategies in north-eastern Australiahttp://espace.library.uq.edu.au/view/UQ:231970
A study was undertaken to identify improved management strategies for barley (Hordeum vulgare L.), particularly in relation to time of planting, location, and frost risk in the variable climate of north-eastern Australia. To achieve this objective, a crop growth simulation model (QBAR) was constructed to integrate the understanding, gained from field experiments, of the dynamics of crop growth as influenced by soil moisture and environmental variables. QBAR simulates the growth and yield potential of barley grown under optimal nutrient supply, in the absence of pests, diseases, and weeds. Genotypic variables have been determined for 4 cultivars commonly grown in the northern cereal production areas. Simulations were conducted using long- term weather data to generate the probabilistic yield outcome of cv. Grimmer for a range of times of planting at 10 locations in the north-eastern Australian grain belt. The study indicated that the common planting times used by growers could be too late under certain circumstances to gain full yield potential. Further applications of QBAR to generating information suitable for crop management decision support packages and crop yield forecasting are discussed.2011-03-07T15:30:58Z
Goyne, P.J.; Hammer, G.L.; Meinke, H.; Milroy, S.P.; Hare, J.M. Development and validation of a multi-plex PCR for identification and serotyping of Actinobacillus pleuropneumoniae serovars 1, 5, 7 and 12.http://espace.library.uq.edu.au/view/UQ:254352
2011-10-06T19:15:17Z
Singh, R.; Turni, C.; Blackall, P.J. Development of a 23S rRNA-based PCR assay for the identification of Pasteurella multocidahttp://espace.library.uq.edu.au/view/UQ:231536
2011-03-07T14:42:46Z
Miflin, J.K.; Blackall, P.J. Development of a model based on Bayesian networks to estimate the probability of sheep lice presence at shearinghttp://espace.library.uq.edu.au/view/UQ:231722
This paper describes the development of a model, based on Bayesian networks, to estimate the likelihood that sheep flocks are infested with lice at shearing and to assist farm managers or advisers to assess whether or not to apply a lousicide treatment. The risk of lice comes from three main sources: (i) lice may have been present at the previous shearing and not eradicated; (ii) lice may have been introduced with purchased sheep; and (iii) lice may have entered with strays. A Bayesian network is used to assess the probability of each of these events independently and combine them for an overall assessment. Rubbing is a common indicator of lice but there are other causes too. If rubbing has been observed, an additional Bayesian network is used to assess the probability that lice are the cause. The presence or absence of rubbing and its possible cause are combined with these networks to improve the overall risk assessment.2011-03-07T15:09:28Z
Horton, B. J.; Evans, D. L.; James, P. J.; Campbell, N. J. Development of a multiplexed bead-based suspension array for the detection and discrimination of Pospiviroid plant pathogenshttp://espace.library.uq.edu.au/view/UQ:322072
Efficient and reliable diagnostic tools for the routine indexing and certification of clean propagating material are essential for the management of pospiviroid diseases in horticultural crops. This study describes the development of a true multiplexed diagnostic method for the detection and identification of all nine currently recognized pospiviroid species in one assay using Luminex bead-based suspension array technology. In addition, a new data-driven, statistical method is presented for establishing thresholds for positivity for individual assays within multiplexed arrays. When applied to the multiplexed array data generated in this study, the new method was shown to have better control of false positives and false negative results than two other commonly used approaches for setting thresholds. The 11-plex Luminex MagPlex-TAG pospiviroid array described here has a unique hierarchical assay design, incorporating a near-universal assay in addition to nine species-specific assays, and a co-amplified plant internal control assay for quality assurance purposes. All assays of the multiplexed array were shown to be 100% specific, sensitive and reproducible. The multiplexed array described herein is robust, easy to use, displays unambiguous results and has strong potential for use in routine pospiviroid indexing to improve disease management strategies.2014-02-03T12:06:33Z
van Brunschot, Sharon L.; Bergervoet, Jan H. W.; Pagendam, Daniel E.; de Weerdt, Marjanne; Geering, Andrew D. W.; Drenth, André; van der Vlugt, René A. A. Development of an equation to determine residual feed intake in first parity beef cowshttp://espace.library.uq.edu.au/view/UQ:282279
2012-09-21T19:50:44Z
Case, L.; Kelly, M. J.; Miller, S. P. Development of a New Zealand database of plant virus and virus-like organismshttp://espace.library.uq.edu.au/view/UQ:229766
The recent 8th Australasian plant virology workshop in Rotorua, New Zealand, discussed the development of a New Zealand database of plant virus and virus-like organisms. Key points of discussion included: (i) the purpose of such a database; (ii) who would benefit from the information in a database; (iii) the scope of a database and its associated collections; (iv) database information and format; and (v) potential funding of such a database. From the workshop and further research, we conclude that the preservation and verification of specimens within the collections and the development of a New Zealand database of plant virus and virus-like organisms is essential. Such a collection will help to fulfil statutory requirements in NewZealand and assist in fulfilling international obligations under the International Plant Protection Convention. Sustaining such a database will assist New Zealand virologists and statutory bodies to undertake scientifically sound research. Establishing reliable records and an interactive database will help to ensure accurate and timely diagnoses of diseases caused by plant viruses and virus-like organisms. Detection of new incursions and their diagnosis will be further enhanced by the use of such reference collections and their associated database. Connecting and associating this information to similar overseas databases would assist international collaborations and allow access to the latest taxonomic and diagnostic resources. Associated scientists working in the areas of plant breeding, export phytosanitary assurance and in the area of the conservation estate would also benefit from access to verified specimens of plant viruses and virus-like organisms. We conclude that funding of a New Zealand database of virus and virus-like organisms and its associated collections should be based partly on Crown funds, as it is a nationally significant biological resource.2011-02-22T08:45:19Z
Fletcher, J. D.; Lister, R. A.; Clover, G. R. G.; Horner, M. B.; Thomas, J. E.; van der Vlugt, R. A. A.; MacDiarmid, R. M. Development of a rapid multiplex PCR assay to genotype pasteurella multocida strains by use of the lipopolysaccharide outer core biosynthesis locushttp://espace.library.uq.edu.au/view/UQ:350968
2015-02-10T00:42:25Z
Harper, Marina; John, Marietta; Turni, Conny; Edmunds, Mark; St. Michael, Frank; Adler, Ben; Blackall, P. J.; Cox, Andrew D.; Boyce, John D. Development of a real-time PCR assay to detect DNA from fly-trap sampleshttp://espace.library.uq.edu.au/view/UQ:344967
2014-11-12T13:19:41Z
Morgan, Jess A.T. Development of a single kernel NIR barley protein calibration and assessment of variation in protein on grain qualityhttp://espace.library.uq.edu.au/view/UQ:267081
In this paper, we describe results from a preliminary experiment on the development of a near infrared reflectance (NIR) calibration for single kernel (SK) % protein content in barley. The SKNIR calibration was developed using kernels from breeding lines and commercial barley varieties with a range in protein content of 7.3% to 16.6% "as is" . The calibration model produced an R2 = 0.903, while the validation set had a R2 = 0.837 with a standard error of cross validation and a standard error of prediction of 0.8% for both the calibration and validation sets respectively. The calibration was then used to estimate the variation in % protein of 4,000 single kernels from a commercial variety (Gairdner at 9.3% protein) by segregating kernels into six sub-groups (<7.8%, 7.9–8.3%, 8.4–9.0%, 9.1–9.7%, 9.8–10.4%, >10.5% "as is" ). These sub-groups then had additional grain quality tests carried out including grain size, thousand kernel weight and NIR estimates of % protein, starch, hardness and barley hot water extract (HWE). The results showed an increase in grain size, and a decrease in HWE from the low to high % protein sub-groups. While only a single variety was used in the SKNIR protein segregation study, the results suggested SKNIR could be used to screen for the variation in grain quality traits based on variation in protein content.2012-02-06T19:37:34Z
Fox, G. P.; Kelly, A.; Sweeney, N.; Hocorft, D. M. Development of enzyme linked immunosorbent assays to measure Bm86 antigen of Boophilus microplus (cattle tick) and to detect anti-Bm86 antibodies in serum sampleshttp://espace.library.uq.edu.au/view/UQ:245133
2011-08-09T08:50:08Z
Triguero, A; Blanco, R; Machado, H; Rodriguez, M; de la Fuente, J Development of near infrared analysis of faeces to estimate non-grass proportions in diets selected by cattle grazing tropical pastureshttp://espace.library.uq.edu.au/view/UQ:231651
2011-03-07T14:52:44Z
Coates, David B.; Dixon, Rob M. Diagnostic dilemmas in the Pasteurellaceaehttp://espace.library.uq.edu.au/view/UQ:254317
2011-10-06T14:34:06Z
Blackall, Pat Dichorhavirus: a proposed new genus for Brevipalpus mite-transmitted, nuclear, bacilliform, bipartite, negative-strand RNA plant viruseshttp://espace.library.uq.edu.au/view/UQ:325116
2014-03-11T00:25:49Z
Dietzgen, Ralf G.; Kuhn, Jens H.; Clawson, Anna N.; Freitas-Astua, Juliana; Goodin, Michael M.; Kitajima, Elliott W.; Kondo, Hideki; Wetzel, Thierry; Whitfield, Anna E. Dicotyledons lacking the multisubunit form of the herbicide-target enzyme acetyl coenzyme A carboxylase may be restricted to the family Geraniaceaehttp://espace.library.uq.edu.au/view/UQ:231632
2011-03-07T14:50:48Z
Christopher, John T.; Holtum, Joseph A. M. Dicotyledons sensitive to herbicides that inhibit acetyl-coenzymea carboxylasehttp://espace.library.uq.edu.au/view/UQ:245252
2011-08-10T15:18:52Z
Christopher, JT; Holtum, JA Dietary protein level and glucose and insulin dynamics in mature geldingshttp://espace.library.uq.edu.au/view/UQ:271446
2012-03-23T16:34:50Z
Barton, K.D.; Foote, C.E.; Cawdell-Smith, A.J.; Anderson, S.T.; Boston, R.C.; Bryden, W.L. Diet quality and liveweight gain of steers grazing Leucaena-grass pasture estimated with faecal near infrared reflectance spectroscopy (F. NIRS)http://espace.library.uq.edu.au/view/UQ:231655
2011-03-07T14:52:58Z
Dixon, R. M.; Coates, D. B. Diet quality of cattle grazing grass or leucaena-grass pastures in Central Qldhttp://espace.library.uq.edu.au/view/UQ:267431
2012-02-10T17:27:43Z
Buck, Stuart; Thornton, Craig; Dixon, Rob